怎么说呢？这个库，画一些基本的形状挺好用的，还有pyecharts,但是我不想在可视化上浪费太多时间，就这样吧。
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之前学的：
# -*- coding: utf-8 -*-
"""
Created on Thu May 28 17:28:17 2020
@author: Administrator
"""
#
from matplotlib import pyplot as plt
fig=plt.figure(figsize=(15,5),dpi=80)
x=range(2,26,2)
y=[15,13,14,5,17,20,25,26,24,22,18,15]
plt.plot(x,y)
plt.yticks(y)#设置y坐标
plt.xticks(range(5,50,2))#设置x范围
plt.savefig("f://a.svg")#保存文件
plt.show()#展示
#折线图
from matplotlib import pyplot as plt
import matplotlib
import random
from matplotlib import font_manager
# font={
# 'family':'MicroSoft YaHei',
# 'weight':'bold',
# 'size':'20'
# }
# matplotlib.rc("font",**font)
my_font=font_manager.FontProperties(fname="C:\Windows\Fonts\STKAITI.TTF")
x=range(0,120)
y=[random.randint(20,35) for i in range(120)]
fig=plt.figure(figsize=(20,5),dpi=80)
x_ticks=["10点{}分".format(i) for i in range(60)]
x_ticks+=["11点{}分".format(i) for i in range(60)]
plt.title("10-11点温度",fontproperties=my_font)
plt.ylabel("温度",fontproperties=my_font)
plt.xlabel("时间",fontproperties=my_font)
plt.xticks(list(x)[::5],x_ticks[::5],rotation=45,fontproperties=my_font)
plt.grid(alpha=0.4)#linestyle
plt.plot(x,y,label="a",color="r",linestyle="--",linewidth=1)
plt.plot(range(100,220),y,label="b")
#图例
plt.legend(prop=my_font,loc=5)
plt.savefig("f://wendu.png")#保存文件
plt.show()
#散点图
from matplotlib import pyplot as pt
from matplotlib import font_manager
import random
my_font=font_manager.FontProperties(fname="C:\Windows\Fonts\STKAITI.TTF")
y_3=[random.randint(10,22) for i in range(31)]
y_10=[random.randint(10,30)for i in range(31)]
x_3=range(1,32)
x_10=range(32,63)
#设置图形大小
plt.figure(figsize=(20,8),dpi=80)
#设置标识
plt.title("3月和10月温度",fontproperties=my_font)
plt.ylabel("温度",fontproperties=my_font)
plt.xlabel("日期",fontproperties=my_font)
#设置x,y刻度
x_xticks=list(x_3)+list(x_10)
x_label=["3月{}号".format(i) for i in range(1,32)]
x_label+=["10月{}号".format(i) for i in range(1,32)]
plt.xticks(x_xticks,x_label,rotation=90,fontproperties=my_font)
plt.scatter(x_3,y_3,label="a")
plt.scatter(x_10,y_10,label="b",color="r")
#图例
plt.legend(prop=my_font,loc=5)
plt.show()
#条形图
from matplotlib import pyplot as pt
from matplotlib import font_manager
import random
my_font=font_manager.FontProperties(fname="C:\Windows\Fonts\STKAITI.TTF")
x=range(12)
y_1=[random.randint(30,70) for i in range(12)]
y_2=[random.randint(30,70) for i in range(12)]
x_xticks=["鼠","牛","虎","兔","龙","蛇","马","羊","猴","鸡","狗","猪"]
#设置大小
plt.figure(figsize=(10,8),dpi=80,facecolor='snow')
#设置标识
plt.title("生肖的智商",fontproperties=my_font)
plt.ylabel("智商",fontproperties=my_font)
plt.xlabel("生肖",fontproperties=my_font)
#设置xy
plt.xticks(range(0,24,2),x_xticks,rotation=0,fontproperties=my_font)
plt.xticks(range(1,25,2),x_xticks,rotation=0,fontproperties=my_font)
#横着画
#plt.barh(x,y_1,label="智商",height=1)
plt.bar(range(0,24,2),y_1,label="智商",width=0.1)
plt.bar(range(1,25,2),y_2,label="情商",width=0.1)
#网格
plt.grid(alpha=0.4)#linestyle
plt.legend(prop=my_font,loc=5)
plt.show()
#直方图
from matplotlib import pyplot as pt
from matplotlib import font_manager
import random
my_font=font_manager.FontProperties(fname="C:\Windows\Fonts\STKAITI.TTF")
a=[random.randint(60,100) for i in range(300)]
#组距=5
w=5
#组数
n=(max(a)-min(a))//w
#画刻度
x_3=range(min(a),max(a)+w,w)
x_xticks=["第{}组".format(i) for i in range(8)]
plt.xticks(x_3,x_xticks,fontproperties=my_font)
#分为两组画出来
plt.hist(a,n,width=0.1)
plt.show()
#画字
from matplotlib import pyplot as plt
from matplotlib import font_manager
import random
s='put some text\nwusen'
plt.axis('off')
plt.text(0, 0.8, s)
#‘bmh’, ‘classic’, ‘dark_background’, ‘fast’, ‘fivethirtyeight’, ‘ggplot’, ‘grayscale’, ‘seaborn-bright’, ‘seaborn-muted’, ‘seaborn-notebook’, ‘seaborn-paper’, ‘seaborn-pastel’, ‘seaborn-poster’, ‘seaborn-talk’, ‘seaborn-ticks’, ‘seaborn-white’, ‘seaborn-whitegrid’, ‘seaborn’, ‘Solarize_Light2’, ‘tableau-colorblind10’, ‘_classic_test’
plt.style.use('classic')
axs3=plt.subplot()View Code
新版总结：
1.画折线图：plot
import numpy as np
import matplotlib
from matplotlib import pyplot as plt
from matplotlib import font_manager
# 设置字体方式一
# font={
# 'family':'MicroSoft YaHei',
# 'weight':'bold',
# 'size':'30'
# }
# matplotlib.rc("font",**font)
# 设置字体方式二：里面有参数，自己去看
my_font=font_manager.FontProperties(fname="fonts/华文彩云.ttf")
# 初始化画布figsize=(15,5)是长宽比，dpi代表倍数，像素就是figsize*dpi
fig=plt.figure(figsize=(15,5),dpi=80)
# 产生步长为2的一个列表
x = np.arange(0,20,2)
# randint里面可以size参数可以是数值也可以是元组
y1 = np.random.randint(0,100,size=(10))
y2 = np.random.randint(0,100,size=(10))
# 这一句是把图形画上去
# linestyle:'-', '--', '-.', ':', 'None', ' ', '', 'solid', 'dashed', 'dashdot', 'dotted'
plt.plot(x,y1,label="a",color="r",linestyle="--",linewidth=1)
plt.plot(x,y2,label="b")
# plt.yticks(y)#设置y坐标
#设置x范围,设置角度
plt.xticks(x,rotation=90)
# 背景格子线
plt.grid(alpha=0.1)#linestyle
# 画标题
plt.title("TITLE",fontproperties=my_font)
# 画栅格
plt.legend(prop=my_font,loc=2)
#保存文件，格式可以是svg png jpg ...
# plt.savefig("f://b.svg")
plt.show()#展示View Code
2.散点图
# plt.scatter(x,y1,label="a",color="r",linestyle="--",linewidth=1)View Code
3.条形图
# plt.bar(x,y3,label="c")View Code
4.直方图，我不知道跟条形图啥区别
from matplotlib import pyplot as pt
from matplotlib import font_manager
import random
my_font=font_manager.FontProperties(fname="fonts/华文彩云.ttf")
a=[random.randint(60,100) for i in range(300)]
print(len(a),a)
#组距=5
w=5
#组数
n=(max(a)-min(a))//w
print(n)
#画刻度
x_3=range(min(a),max(a)+w,w)
x_xticks=["第{}组".format(i) for i in range(8)]
# x_xticks = ["A","B","C","D","E","F","G","H","I"]
plt.xticks(x_3,x_xticks,fontproperties=my_font)
#分为两组画出来
plt.hist(a,n,width=3)
plt.show()View Code
5也可以往图上写字，
from matplotlib import pyplot as plt
# from matplotlib import font_manager
# import random
# s='put some text\nwusen'
# plt.axis('off')
# plt.text(0, 0.8, s)
# #‘bmh’, ‘classic’, ‘dark_background’, ‘fast’, ‘fivethirtyeight’, ‘ggplot’, ‘grayscale’, ‘seaborn-bright’, ‘seaborn-muted’, ‘seaborn-notebook’, ‘seaborn-paper’, ‘seaborn-pastel’, ‘seaborn-poster’, ‘seaborn-talk’, ‘seaborn-ticks’, ‘seaborn-white’, ‘seaborn-whitegrid’, ‘seaborn’, ‘Solarize_Light2’, ‘tableau-colorblind10’, ‘_classic_test’
# plt.style.use('classic')
# axs3=plt.subplot()
# plt.show()View Code
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